As AI Agents become the main narrative in the AI field, the development of the AI track is gradually entering the 2.0 era. Focusing on the concept of AI Agents, they are intelligent systems capable of perceiving the environment, making decisions, and executing tasks or services. They typically understand natural language instructions, learn user preferences, and, in some cases, can make decisions autonomously.
The work of an AI Agent only requires a given goal; it can independently think and take action towards that goal, breaking down each step of the plan in detail based on the given task, relying on external feedback and its own thinking to create prompts for itself to achieve the goal. We can understand it as AI Agent = Q&A robot (interactive entry) + fully automated workflow (perception, thinking, action) + static knowledge base (memory).
Some typical use cases for AI Agents include autonomous driving. When a user inputs a destination, the AI Agent replaces humans in completing the driving task based on a combination of AI algorithms and various visual technologies, actively making decisions and executing actions during the process, demonstrating true autonomy and adaptability. The gaming field is also actively experimenting with AI Agent solutions, such as using AI Agents to simulate real players, acting as opponents in games, autonomously executing tasks (like NPC behavior and storyline development), and even adjusting game difficulty based on player performance to ensure the experience remains challenging. In addition to these fields, many others, including manufacturing, finance, healthcare, agriculture, and cybersecurity, are also trying to apply AI Agents. According to the 2024 annual report released by Electric Capital and Messari, the number of global on-chain developers related to AI has achieved over 80% year-on-year growth, indicating that more and more developers view on-chain technology as a new operating soil for AI services.
On the other hand, the large-scale application of AI Agents is still in its early stages. Traditional centralized resource platforms, such as large cloud service providers or AI API providers, can support model deployment in the early stages, but their high costs, low composability, and lack of transparency in service processes have gradually become major bottlenecks limiting the widespread implementation of intelligent services. In new system architectures aimed at multi-party collaboration, real-time feedback, and dynamic self-learning, centralized platforms are increasingly unable to meet multiple demands such as low latency, high privacy, and flexible invocation. Meanwhile, the deployment threshold for AI Agents remains high, with core capabilities still monopolized by tech giants, making it difficult for ordinary users and developers to achieve truly personalized and autonomous intelligent services. The lack of open, decentralized infrastructure also makes it challenging for Agents to migrate freely and evolve sustainably, further exacerbating issues of technological barriers and resource centralization.
Against this backdrop, Kairos, with the core concept of "resources as a service," adopts a DePIN-based architectural path to build a Web3 resource stack network system with high accessibility, strong programmability, and native incentive mechanisms, creating a new "Agents as a Service" ecosystem. By providing unified, flexible, and scalable underlying support, Kairos aims to promote the sustainable evolution of the next generation of decentralized intelligent systems, allowing everything to become an "Agent."
The new narrative of Kairos "Agents as a Service"
Focusing on Kairos itself, it is a Web3 form of AI infrastructure, consisting of a DePIN network centered around the SoulBoundRing smart device and the backend computing network Kairos Stack. The former can provide various necessary resources for the operation of AI Agents in a decentralized manner, while the latter can offer low-threshold, even no-code programmable AI Agent services, accelerating the low-threshold and flattened adoption of AI Agents across various fields.
DePIN Resource Network
In the DePIN network architecture of Kairos, the lightweight, wearable smart device SoulBoundRing forms the core touchpoint of the entire distributed resource system. Users can seamlessly connect local resources (such as home GPUs, mobile devices, ARM chips, etc.) to the Kairos backend computing network through this device and earn on-chain rewards based on resource contributions, thus establishing a closed-loop incentive mechanism of "resources as value."
SoulBoundRing is not a traditional wearable device but a medical-grade edge computing terminal integrated with multiple core patents. It is equipped with the world's smallest medical-grade micro CIS optical sensor module, supporting multi-modal data collection and temporal fusion modeling, with clinical-grade accuracy of <5%, capable of real-time monitoring of 12 physiological indicators such as heart rate, HRV, blood pressure, blood oxygen, and micro-vibrations, and has early warning capabilities for Parkinson's tremors. Relevant patents have been secured in China, the U.S., and Taiwan, creating a complete protective barrier from hardware to algorithms.
Beyond data collection, SoulBoundRing features a low-power AI module and a local model engine, supporting lightweight Agents to complete model inference and task responses on the device side, allowing users to build personalized behavior tagging systems during daily use. The device achieves a full-process closed loop of perception, inference, and feedback through edge computing, making it a micro-intelligent node within the Kairos intelligent network.
Furthermore, SoulBoundRing integrates a TEE-based encrypted identity and payment system, supporting local signing, on-chain interaction, and seamless payments. Whether for data uploads, Agent calls, or task result feedback, users can complete secure operations throughout the process on the device side. It serves not only as an on-chain identity credential but also as a service trigger and resource access point, establishing a trusted interaction path between users, data, and assets.
In the "device as node" model envisioned by Kairos, SoulBoundRing simultaneously fulfills five roles: data producer, computing executor, Agent consumption terminal, resource aggregation entry, and incentive participant. Users can map data as on-chain assets, execute personalized intelligent tasks, receive feedback suggestions, and obtain $Kairos token incentives through service actions, achieving a comprehensive connection from the real world to the on-chain world. It is the forefront execution unit of the Kairos distributed computing network and a key entry point for truly bringing AI Agents to the individual level.
Computing Network: Kairos Stack
Kairos Stack is the on-chain backend computing platform of the Kairos network, carrying the scheduling logic, task orchestration, and value flow of the resource stack, serving as the system hub that drives the efficient operation of the decentralized intelligent agent system. This stack constructs an intelligent agent operating architecture that combines modular deployment capabilities with self-driven task capabilities, aiming to address the structural dependence of traditional AI services on centralized resource platforms.
Once the DePIN resource access layer completes the on-chain linking of computing power and data, Kairos Stack provides a no-code workflow platform for developers and non-technical users, allowing users to quickly build complete AI workflows composed of model inference, plugin calls, external data interactions, etc., in a visual manner. The system automatically breaks down tasks into multiple distributable "atomic tasks" and, under the drive of the on-chain scheduling system, allocates them in real-time to the optimal edge nodes for execution, achieving true distributed collaborative computing.
The platform includes a semantic understanding engine and task scheduling logic, capable of intelligently generating the optimal execution path based on user intent, enabling parallel processing by multiple agents and elastic load distribution. Meanwhile, Kairos Stack supports encapsulating functions such as on-chain financial protocols, off-chain CEX APIs, and on-chain analysis modules as plugins, deploying them to run on edge nodes, allowing developers to build diverse Web3 services such as trading Agents and security audit Agents without centralized servers.
In this system, all nodes executing tasks and data contributors will receive on-chain rewards. The system evaluates value based on multiple dimensions such as task complexity, resource consumption, and data validity, and automatically settles through the native token $Kairos, creating a complete and sustainable incentive loop.
More forward-looking, Kairos Stack promotes the "Agents as a Service" model, making the platform not just an infrastructure for resource scheduling and computing execution but also an incubator for building a Web3 intelligent ecosystem. In this system, each Agent can be registered on-chain as a service unit, binding exclusive tokens, configuring calling prices, access permissions, and incentive strategies, forming micro dApps with independent economic models.
This means that any algorithm, module, or even entity can become a callable Agent. Whether it is a health monitoring program, on-chain trading component, or various use cases, they can be encapsulated as AI Agent service components in edge nodes, referenced or combined by other tasks in the network, truly realizing the system paradigm of "everything can be an Agent."
With the Kairos no-code platform and standardized operating framework, developers and users can create, deploy, and commercialize their intelligent agent services without a complex technical background. Based on this, intelligent agents are no longer high-threshold tools exclusive to giants but are network resources that everyone can use, configure, collaborate on, and incentivize, driving the large-scale adoption of AI Agents in more fields.
Overall, AI Agents are still in the early stages of development. Despite continuous advancements in large models and multi-modal technologies, limitations in computing power costs, system reliability, and resource scheduling remain core obstacles to their large-scale implementation. One of the biggest challenges facing the popularization of intelligent agents today is how to build a usable, trustworthy, and scalable operational infrastructure.
Kairos is becoming the key to breaking this bottleneck by constructing an open resource network under the DePIN architecture, an on-chain incentive mechanism, and a modular computing platform, providing a full-link operational environment for AI Agents from perception, reasoning to execution. Kairos not only lowers the deployment threshold for intelligent agents but also reshapes their economic model, transforming Agents from tools into true service units. Kairos is laying a solid foundation for the large-scale adoption of AI Agents and making the vision of "everything can be an Agent" no longer distant.